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    "ExecuteTime": {
     "start_time": "2025-04-11T06:52:55.320144Z"
    }
   },
   "source": "%run fgnet_main_model.py --dataset datacon",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "using dataset datacon\n",
      "test_rate is 0.1\n",
      "model_path ./data/fgnet_datacon_model!\n",
      "data_path ./data/fgnet_datacon!\n",
      "dumpFilename: ./data/fgnet_datacon/dataset_builder.pkl.gzip\n",
      "log_directory: .\\dataset\\datacon\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Time:2025-04-11 14:52:56.993825, [-WARN]: Load dump data from ./data/fgnet_datacon/dataset_builder.pkl.gzip\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train:209,Test:9,Valid:13\n",
      "####################################################################################################\n",
      "Now begin new experiment with the following model parameter!\n",
      "{'latent_feature_length': 200, 'nb_layer': 2}\n",
      "Train GAT model.\n",
      "Build GAT : in_feats=200，out_feats=200,num_heads=2\n",
      "Build GAT : in_feats=400，out_feats=400,num_heads=1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Time:2025-04-11 14:52:57.822052, [-WARN]: Load model from ./data/fgnet_datacon_model/saved_model_E7/gnn_model.pkl well.\n",
      "  0%|          | 0/40 [00:00<?, ?it/s]"
     ]
    }
   ],
   "execution_count": null
  }
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